- Ultrasound Imaging and Elastography
- Photoacoustic and Ultrasonic Imaging
- Ultrasound and Hyperthermia Applications
- Ultrasonics and Acoustic Wave Propagation
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Flow Measurement and Analysis
- MicroRNA in disease regulation
- Circular RNAs in diseases
- Autonomous Vehicle Technology and Safety
- Cancer-related molecular mechanisms research
- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Chronic Kidney Disease and Diabetes
- Ophthalmology and Eye Disorders
- Air Quality Monitoring and Forecasting
- Microwave Imaging and Scattering Analysis
- Geophysical Methods and Applications
- Epigenetics and DNA Methylation
- Ocular Oncology and Treatments
- Medical Image Segmentation Techniques
- Seismology and Earthquake Studies
- Breast Cancer Treatment Studies
- Digital Radiography and Breast Imaging
Zhongshan Hospital
2020-2025
Fudan University
2020-2025
Beihang University
2017-2024
The University of Tokyo
2012-2017
Beijing Friendship Hospital
2017
Capital University
2017
Tianjin Medical University
2014
Tianjin Medical University Eye Hospital
2014
Huazhong University of Science and Technology
2009
Abstract Diabetic kidney disease (DKD) is closely associated with the high risk of cardiovascular and mortality. Exosomal circRNAs can exert significant roles in pathology various diseases. Nevertheless, role exosomal DKD progression remains barely known. Circular RNA DLGAP4 has been reported to be involved acute ischemic stroke. In our study, we found circ_DLGAP4 was increased exosomes isolated from HG-treated mesangial cells (MCs), patients, rat models compared corresponding normal...
A forward collision warning (FCW) system is important for avoiding rear-end collisions. When the front vehicle slows down or risk of increases, FCW sends a warning. However, if provided too late, following may not have enough time to stop slow smoothly. Here, we propose new that detects driving intention provide earlier than previously used systems. The proposed consists three steps. First, determined by recognition module. Second, and other parameters are transmitted using...
Breast cancer is the most commonly occurring worldwide. The ultrasound reflectivity imaging technique can be used to obtain breast (BUS) images, which classify benign and malignant tumors. However, classification subjective dependent on experience skill of operators doctors. automatic method assist doctors improve objectivity, but current convolution neural network (CNN) not good at learning global features vision transformer (ViT) extraction local features. In this study, we proposed a...
To investigate the effect of continuous renal replacement therapy (CRRT) in patients with severe acute kidney injury (AKI) by using Nafamostat Mesilate (NM). Methods. Eighty AKI who underwent CRRT from March 2022 to January were divided into control group (n = 40, treated unfractionated heparin) and Observation NM). The duration first filter use, number filters used 72 hours after treatment, coagulation functions, adverse reactions, bleeding events, length stay intensive care unit (ICU)...
Abstract Diabetic nephropathy is a leading cause of end‐stage renal disease globally. The vital role circular RNAs (circRNAs) has been reported in diabetic progression, but the molecular mechanism linking to circRNAs remains elusive. In this study, we investigated significant function circ‐AKT3/miR‐296‐3p/E‐cadherin regulatory network on extracellular matrix accumulation mesangial cells nephropathy. expression circ‐AKT3 and fibrosis‐associated proteins, including fibronectin, collagen type I...
Abstract Acute kidney injury (AKI) is a common disease that markedly affects public health. To date, the roles of long noncoding RNA XIST in AKI are poorly understood. Here, we investigated biological functions AKI. We observed expression increased patients with and HK‐2 cells stimulated by CoCl 2 . In addition, rat model induced ischemia–reperfusion was established. Tumor necrosis factor‐α, interleukin‐6, cyclooxygenase‐2 messenger were vivo; moreover, upregulated. Knockdown significantly...
Purpose Breast cancer is the most common among women worldwide. Medical ultrasound imaging one of widely applied breast methods for tumors. Automatic (BUS) image segmentation can measure size tumors objectively. However, various artifacts hinder segmentation. We proposed an attention‐supervised full‐resolution residual network (ASFRRN) to segment from BUS images. Methods In method, Global Attention Upsample (GAU) and deep supervision were introduced into a (FRRN), where GAU learns merge...
Ultrasound sound-speed tomography (USST) is a promising technique for breast cancer diagnosis that currently under investigation. Compared with two-dimensional X-ray mammography, it not only provides three-dimensional images but also avoids radiation exposure. However, the image quality of USST highly dependent on accuracy travel time map (TTM). To improve accuracy, novel automatic first-arrival picking method proposed in this study. With method, Akaike information criterion used to obtain...
Diabetic nephropathy (DN) is a serious kidney disease resulted from diabetes. Dys-regulated proliferation and extracellular matrix (ECM) accumulation in mesangial cells contribute to DN progression. In this study, we tested expression level of MIAT patients treated by high glucose (HG). Up-regulation was observed DN. Then, functional assays displayed that silence siRNA significantly repressed the cycle progression induced HG. Meanwhile, found collagen IV, fibronectin TGF-β1 protein obviously...
Motor imagery (MI) classification based on electroencephalogram (EEG) with high speed and accuracy is a key issue in brain–computer-interface (BCI) technology. This study compared the support vector machine (SVM) back-propagation neural network (BP-NN) for MI classification. In this study, EEG data of four subjects provided by BCI competition 2008 was employed. For comparison (CA), there were three steps. First, feature extraction implemented using common spatial pattern. Second, SVM BP-NN...
Driver’s intention of the front vehicle plays an important role in automatic emergency braking (AEB) system. If brakes suddenly, there is potential collision risk for following vehicle. Therefore, we propose a driver’s recognition model vehicle, which based on backpropagation (BP) neural network and hidden Markov (HMM). The brake pedal, accelerator speed data are used as input proposed BP-HMM to recognize intention, includes uniform driving, normal braking, braking. According recognized...
Diabetic nephropathy (DN) is the most common cause of end-stage renal disease. Although numerous reports have demonstrated a correlation between epithelial-mesenchymal transition (EMT) and fibrosis, how these processes lead to tubular dysfunction remains unclear. Here, we show that FOXO3a protects kidneys from injury in type II DN by increasing Sirt6 expression, which deacetylates Smad3 inhibits its transcriptional activity. The results showed progressive EMT db/db mice associated with...
Ultrasound sound-speed tomography (USST) has shown great prospects for breast cancer diagnosis due to its advantages of nonradiation, low cost, 3-D images, and quantitative indicators. However, the reconstruction quality USST is highly dependent on first-arrival picking transmission wave. Traditional methods have accuracy noise robustness. To improve robustness, we introduced a self-attention mechanism into bidirectional long short-term memory (BLSTM) network proposed BLSTM (SAT-BLSTM)...
Bent ray ultrasound sound speed tomography reconstruction can improve image quality comparing to straight ray. However, it suffers from time consuming linking, which finds bent link a pair of given emitter and receiver. Currently, multi tracing always be required for single but all traced rays will discarded excepting one links the It is important reducing cost avoid discarding decrease number. For this purpose, novel method (BRRM) using virtual receiver was proposed in study. Single...
High detection accuracy in piezoelectric-based force sensing interactive displays has gained global attention. To achieve this, artificial neural networks (ANN)—successful and widely used machine learning algorithms—have been demonstrated to be potentially powerful tools, providing acceptable location of 95.2% level recognition 93.3% a previous study. While these values might for conventional operations, e.g., opening folder, they must boosted applications where intensive operations are...
Diabetic nephropathy (DN) is the leading cause of end‐stage renal disease. The association between epithelial‐mesenchymal transition (EMT) and fibrosis quite ascertained, but its link to eventual tubule dysfunction missing. Here, we show that human microRNA‐ (hsa‐miR‐) 199b‐3p protects tubules from diabetic‐induced injury by repressing KDM6A, a histone lysine demethylase regulating E‐cadherin expression. Lower expression related higher level while promoted upon treatment with KDM6A inhibitor...
Reflection image from ultrasound computed tomography (USCT) system can be obtained by synthetic aperture technique, however its quality is decreased phase aberration caused inhomogeneous media. Therefore, correction important to improve quality. In this study, multi-stencils fast marching method (MSFMM) employed for correction. The MSFMM an accurate and solution of Eikonal equation which considers the refraction. proposed includes two steps. First, used compute sound propagation time each...
Breast cancer is a global health concern, emphasizing the need for early detection. However, current mammography struggles to effectively image dense breasts. ultrasound can be an adjunctive method, but it highly dependent on operator skill. Ultrasound computed tomography (USCT) reflection imaging provides high-quality 3D images, often uses delay-and-sum (DAS) beamforming, which limits its quality. This article proposes integration of coherence-factor (CF) beamforming into enhance CF...